Fold 0
Model 0 best validation prc-auc = 0.413826 on epoch 5
Model 0 test prc-auc = 0.458147
Ensemble test prc-auc = 0.458147
Fold 1
Model 0 best validation prc-auc = 0.441588 on epoch 7
Model 0 test prc-auc = 0.495648
Ensemble test prc-auc = 0.495648
Fold 2
Model 0 best validation prc-auc = 0.435828 on epoch 1
Model 0 test prc-auc = 0.472527
Ensemble test prc-auc = 0.472527
Fold 3
Model 0 best validation prc-auc = 0.462575 on epoch 6
Model 0 test prc-auc = 0.440778
Ensemble test prc-auc = 0.440778
Fold 4
Model 0 best validation prc-auc = 0.480425 on epoch 4
Model 0 test prc-auc = 0.488544
Ensemble test prc-auc = 0.488544
Fold 5
Model 0 best validation prc-auc = 0.481503 on epoch 5
Model 0 test prc-auc = 0.482341
Ensemble test prc-auc = 0.482341
Fold 6
Model 0 best validation prc-auc = 0.460348 on epoch 4
Model 0 test prc-auc = 0.529180
Ensemble test prc-auc = 0.529180
Fold 7
Model 0 best validation prc-auc = 0.460049 on epoch 7
Model 0 test prc-auc = 0.533856
Ensemble test prc-auc = 0.533856
Fold 8
Model 0 best validation prc-auc = 0.420122 on epoch 8
Model 0 test prc-auc = 0.484483
Ensemble test prc-auc = 0.484483
Fold 9
Model 0 best validation prc-auc = 0.467440 on epoch 1
Model 0 test prc-auc = 0.469486
Ensemble test prc-auc = 0.469486
10-fold cross validation
	Seed 0 ==> test prc-auc = 0.458147
	Seed 1 ==> test prc-auc = 0.495648
	Seed 2 ==> test prc-auc = 0.472527
	Seed 3 ==> test prc-auc = 0.440778
	Seed 4 ==> test prc-auc = 0.488544
	Seed 5 ==> test prc-auc = 0.482341
	Seed 6 ==> test prc-auc = 0.529180
	Seed 7 ==> test prc-auc = 0.533856
	Seed 8 ==> test prc-auc = 0.484483
	Seed 9 ==> test prc-auc = 0.469486
Overall test prc-auc = 0.485499 +/- 0.027464
Elapsed time = 0:05:48
